Supported biopsychosocial self-management for back-related leg pain: a randomized feasibility study integrating a whole person perspective by Brent Leininger, Roni Evans, Carol M. Greco, Linda Hanson, Craig Schulz, Michael Schneider, John Connett, Francis Keefe, Ronald M. Glick, Gert Bronfort

“…Conclusion We were able to demonstrate that a full-scale randomized trial comparing a whole-person supported self-management intervention to medical care for chronic BRLP is feasible and identified important areas for optimization.…”
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An optimized anomaly detection framework in industrial control systems through grey wolf optimizer and autoencoder integration by Muhammad Muzamil Aslam, Liyanage Chandratilak De Silva, Rosyzie Anna Awg Haji Mohd Apong, Ali Tufail

“…This paper presents a novel collaborative data processing framework that enhances anomaly detection in ICS by integrating the Grey Wolf Optimizer with Autoencoders. The proposed approach optimizes GWO by improving prey selection, encircling mechanisms, and initial population generation, while enhancing AE dropout functionality for improved model generalization. …”
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Optimal Design of Multiband Microstrip Antennas by Self-Renewing Fitness Estimation of Particle Swarm Optimization Algorithm by Xiaohong Fan, Yubo Tian, Yi Zhao

“…The optimized results show that the purpose of rapid optimization can be achieved while ensuring the design accuracy.…”
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Quasi-preview control: A novel method for active structural vibration control subject to seismic disturbances using adaptive filters and multiple remote seismic observations by Shinya FUJIMURA, Tomohiro WATANABE, Kazuhiko HIRAMOTO

“…The coefficients of the adaptive filter are updated with the normalized least mean square (NLMS) method in every sample period. The estimated waveform is used for feedforward control, while the structural response is used for feedback control. …”
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Modified Swarm-Based Artificial Intelligence Optimization for Optimal Coordination of Directional Overcurrent Relays in Power System by Abdul Wadood, Hani Albalawi, Aadel Mohammed Alatwi, Herie Park

“…The coordination of directional overcurrent relays (DOCRs) plays a critical role in ensuring the reliability and robustness of modern electrical power protection systems. Achieving optimal relay coordination in multi-loop power networks is a complex optimization challenge requiring the minimization of relay operating times and achieve optimal tuning of time dial settings (TDS) and plug settings (PS) while considering the impact of DG integration. …”
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Optimal Feature Selection and Classification for Parkinson’s Disease Using Deep Learning and Dynamic Bag of Features Optimization by Aarti, Swathi Gowroju, Mst Ismat Ara Begum, A. S. M. Sanwar Hosen

“…Our method combines neural network-based feature extraction with a strong optimization technique to dynamically choose the most relevant characteristics from biological data. …”
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Improving detection of Parkinson’s disease with acoustic feature optimization using particle swarm optimization and machine learning by Elmoundher Hadjaidji, Mohamed Cherif Amara Korba, Khaled Khelil

“…Leveraging voice analysis and classification techniques, numerous studies explore the feasibility of early PD detection through automated systems. While several databases offer acoustic features for this purpose, their effectiveness largely depends on the classification methodology employed. …”
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Particle Swarm Optimization Based Optimal Design of Six-Phase Induction Motor for Electric Propulsion of Submarines by Lelisa Wogi, Amruth Thelkar, Tesfabirhan Shoga Tahiro, Tadele Ayana, Shabana Urooj, Samia Larguech

“…This research presented a comparison of optimal model design of a six phase squirrel cage induction motor (IM) for electric propulsion by using Genetic Algorithm (GA) and Particle Swarm Optimization (PSO). …”
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Grid-connected PV inverter system control optimization using Grey Wolf optimized PID controller by Monika Gupta, P. M. Tiwari, R. K. Viral, Ashish Shrivastava, Basem Abu Zneid, Iryna Hunko

“…The proposed GWO-PID method overcomes these limitations by leveraging the GWO algorithm’s global search capability to dynamically optimize the PID gains (Kp, Ki, Kd) based on a composite fitness function that minimizes Mean Squared Error (MSE) and THD. …”
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Dynamic changes in aroma of large-leaf yellow tea during the whole processing at an industrial scale: From fresh leaf to finished tea by Jing Wang, Yuemeng Hu, Zhenyu Guan, Ronggang Zhai, Jieyao Yu, Marina Rigling, Yanyan Zhang, Xiaochun Wan, Xiaoting Zhai

“…In contrast, floral compounds like geraniol and linalool declined progressively, while pyrazines were mainly generated during the final roasting and increased with roasting intensity. …”
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Safe and Optimal Motion Planning for Autonomous Underwater Vehicles: A Robust Model Predictive Control Framework Integrating Fast Marching Time Objectives and Adaptive Control Barr... by Zhonghe Tian, Mingzhi Chen

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Phenological piecewise modelling is more conducive than whole-season modelling to winter wheat yield estimation based on remote sensing data by Xin Huang, Wenquan Zhu, Cenliang Zhao, Zhiying Xie, Hui Zhang

“…In each phenological period, the vegetation indices and meteorological factors were optimized. Then the accuracy and spatiotemporal transferability of the phenological piecewise modelling was compared with that of the whole-season modelling based on four regression methods (i.e. multiple linear regression, artificial neural network, support vector regression and random forest). …”
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Deep learning algorithm on H&E whole slide images to characterize TP53 alterations frequency and spatial distribution in breast cancer by Chiara Frascarelli, Konstantinos Venetis, Antonio Marra, Eltjona Mane, Mariia Ivanova, Giulia Cursano, Francesca Maria Porta, Alberto Concardi, Arnaud Gerard Michel Ceol, Annarosa Farina, Carmen Criscitiello, Giuseppe Curigliano, Elena Guerini-Rocco, Nicola Fusco

“…The DL model exhibited high accuracy in tissue quantification and TP53 status prediction, outperforming traditional methods in terms of precision and efficiency. DL-based approaches offer significant promise for enhancing biomarker testing and precision oncology by reducing intra- and inter-observer variability, but further validation is required to optimize their integration into real-world clinical workflows. …”
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Development of the Whole Day Matters Toolkit for Primary Care: a consensus-building study to mobilize national public health guidelines in practice by Tamara L. Morgan, Michelle S. Fortier, Rahul Jain, Kirstin N. Lane, Kaleigh Maclaren, Taylor McFadden, Jeanette Prorok, Jill Robison, Zachary J. Weston, Jennifer R. Tomasone

“…The Whole Day Matters Toolkit for Primary Care is an evidence-informed resource to help primary care providers (PCPs) disseminate the 24HMGs. …”
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Optimization of α-mangostin and catechins compound extraction from mangosteen skin extract (Garcinia Mangostana L.) as potential antioxidant using combination method of microwaved... by Hakun Wirawasista Aparamarta, Muhammad Rizky Sanjaya, Rigen Azimatarrusydi, Tepy Lindia Nanta, Arief Widjaja, Michael W.Y. Chan

“…However, their low bioavailability in the human body and the challenge of optimizing extraction while maintaining high purity and yield remain key obstacles. …”
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Comprehensive Research on Energy Saving Synergy Optimization and Optimal Real-time Control of Hybrid Electric Mining Trucks by Li Hongliang, Zhang Guojing, Fan Ping

“…The optimal energy distribution can be achieved while optimizing the transmission parameters. …”
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THE ROLE OF FAITH AND OPTIMISM IN COPING WITH STRESS by PetarValkov, Teodora Stoeva

“…Methods: Philosophical and conceptual analyses. Results: Both faith and moderate optimism exhibit properties, which are protective against distress and stressful life events. …”
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Optimization of the Process of Selection of Software in the Organization by A. Yu. Lukyanenko

“…The significance of the research results is due to the lack of widely available methods in open access for the optimal selection of software as a tool, not related to involving external agents in the process and having the necessary scalability to use them, including collective, in organizations. …”
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Refined Assessment Method of Offshore Wind Resources Based on Interpolation Method by Wenchuan Meng, Zaimin Yang, Zhi Rao, Shuang Li, Xin Lin, Jingkang Peng, Yuwei Cao, Yingquan Chen

“…The objective is to identify the optimal interpolation method and apply it to wind energy assessments in the South China Sea. …”
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Optimization of Spoken Term Detection System by Chuanxu Wang, Pengyuan Zhang

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